Underwater Target Detection with High Accuracy and Speed Based on YOLOv10
Underwater target detection exhibits extensive applications in marine target exploration and marine environmental monitoring. However, conventional images of underwater targets present challenges including blurred contour information, complex environmental conditions, and pronounced scattering effec...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/13/1/135 |
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| _version_ | 1832588198495125504 |
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| author | Zhengliang Hu Le Cheng Shui Yu Pan Xu Peng Zhang Rui Tian Jingqi Han |
| author_facet | Zhengliang Hu Le Cheng Shui Yu Pan Xu Peng Zhang Rui Tian Jingqi Han |
| author_sort | Zhengliang Hu |
| collection | DOAJ |
| description | Underwater target detection exhibits extensive applications in marine target exploration and marine environmental monitoring. However, conventional images of underwater targets present challenges including blurred contour information, complex environmental conditions, and pronounced scattering effects. In this work, an underwater target detection method based on YOLOv10 is designed, and the detection performance is compared with the YOLOv5 model. Experimental results demonstrate that the YOLOv10 model has a mAP50 of 85.6% on the URPC 2020 dataset, improving the mAP50 by 1.2% than that of YOLOv5. This model exhibits high detection accuracy and high proceeding speed, which provides a promising support for precise and fast underwater target detection. |
| format | Article |
| id | doaj-art-4cbf1a9296f444baa116a552f1c8856c |
| institution | Kabale University |
| issn | 2077-1312 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj-art-4cbf1a9296f444baa116a552f1c8856c2025-01-24T13:36:59ZengMDPI AGJournal of Marine Science and Engineering2077-13122025-01-0113113510.3390/jmse13010135Underwater Target Detection with High Accuracy and Speed Based on YOLOv10Zhengliang Hu0Le Cheng1Shui Yu2Pan Xu3Peng Zhang4Rui Tian5Jingqi Han6College of Meteorology and Ocean, National University of Defense Technology, Changsha 410073, ChinaSchool of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, ChinaSchool of Physical Science and Technology, Southwest Jiaotong University, Chengdu 610031, ChinaCollege of Meteorology and Ocean, National University of Defense Technology, Changsha 410073, ChinaCollege of Meteorology and Ocean, National University of Defense Technology, Changsha 410073, ChinaCollege of Meteorology and Ocean, National University of Defense Technology, Changsha 410073, ChinaCollege of Meteorology and Ocean, National University of Defense Technology, Changsha 410073, ChinaUnderwater target detection exhibits extensive applications in marine target exploration and marine environmental monitoring. However, conventional images of underwater targets present challenges including blurred contour information, complex environmental conditions, and pronounced scattering effects. In this work, an underwater target detection method based on YOLOv10 is designed, and the detection performance is compared with the YOLOv5 model. Experimental results demonstrate that the YOLOv10 model has a mAP50 of 85.6% on the URPC 2020 dataset, improving the mAP50 by 1.2% than that of YOLOv5. This model exhibits high detection accuracy and high proceeding speed, which provides a promising support for precise and fast underwater target detection.https://www.mdpi.com/2077-1312/13/1/135deep learningunderwater target detectionYOLOv10 |
| spellingShingle | Zhengliang Hu Le Cheng Shui Yu Pan Xu Peng Zhang Rui Tian Jingqi Han Underwater Target Detection with High Accuracy and Speed Based on YOLOv10 Journal of Marine Science and Engineering deep learning underwater target detection YOLOv10 |
| title | Underwater Target Detection with High Accuracy and Speed Based on YOLOv10 |
| title_full | Underwater Target Detection with High Accuracy and Speed Based on YOLOv10 |
| title_fullStr | Underwater Target Detection with High Accuracy and Speed Based on YOLOv10 |
| title_full_unstemmed | Underwater Target Detection with High Accuracy and Speed Based on YOLOv10 |
| title_short | Underwater Target Detection with High Accuracy and Speed Based on YOLOv10 |
| title_sort | underwater target detection with high accuracy and speed based on yolov10 |
| topic | deep learning underwater target detection YOLOv10 |
| url | https://www.mdpi.com/2077-1312/13/1/135 |
| work_keys_str_mv | AT zhenglianghu underwatertargetdetectionwithhighaccuracyandspeedbasedonyolov10 AT lecheng underwatertargetdetectionwithhighaccuracyandspeedbasedonyolov10 AT shuiyu underwatertargetdetectionwithhighaccuracyandspeedbasedonyolov10 AT panxu underwatertargetdetectionwithhighaccuracyandspeedbasedonyolov10 AT pengzhang underwatertargetdetectionwithhighaccuracyandspeedbasedonyolov10 AT ruitian underwatertargetdetectionwithhighaccuracyandspeedbasedonyolov10 AT jingqihan underwatertargetdetectionwithhighaccuracyandspeedbasedonyolov10 |